Changes of putative pathogenic species within the water bacterial community in large-scale drinking water treatment and distribution systems

水处理 生物 流出物 致病菌 细菌 地表水 微生物种群生物学 微生物 微生物学 生态学 环境工程 环境科学 遗传学
作者
Bei Zhao,Ruyin Liu,Yuxian Li,Hao Xu,Xiangyi Li,Junnong Gu,Xiaolan Zhang,Yue Wang,Yansong Wang
出处
期刊:Water Research [Elsevier BV]
卷期号:249: 120947-120947 被引量:6
标识
DOI:10.1016/j.watres.2023.120947
摘要

Although the management of microbes in drinking water is of paramount importance for public health, there remain challenges in comprehensively examining pathogenic bacteria in the water supply system at the species level. In this study, high-throughput sequencing of nearly full-length 16S rRNA genes was performed to investigate the changes of the water bacterial community in three large-scale drinking water treatment plants (DWTPs) and their corresponding distribution systems during winter and summer. Our findings revealed significant differences in the bacterial community structure between winter and summer water samples for each DWTP and its distribution management area (DMA). In the groundwater-fed DWTP, selective enrichment of mycobacterial species was observed in both seasons, and the subsequent DMA also exhibited strong selection for specific mycobacterial species. In one of the surface water-fed DWTPs, certain Legionella species present in the source water in winter were selectively enriched in the bacterial community after pre-oxidation, although they were susceptible to the subsequent purification steps. A variety of putative pathogenic species (n = 83) were identified based on our pathogen identification pipeline, with the dominant species representing opportunistic pathogens commonly found in water supply systems. While pathogen removal primarily occurred during the purification processes of DWTPs, especially for surface water-fed plants, the relative abundance of pathogenic bacteria in the DMA water flora was lower than that in the DWTP effluent flora, indicating a diminished competitiveness of pathogens within the DMA ecosystem.
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